Beyond traditional PLM: Leveraging data science for competitive advantage

Sreeperambuduru, Rukmini Kumar (2025) Beyond traditional PLM: Leveraging data science for competitive advantage. World Journal of Advanced Research and Reviews, 26 (2). pp. 1051-1057. ISSN 2581-9615

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Abstract

This article explores the transformation of Product Lifecycle Management (PLM) through data science integration, addressing how traditional document-centric systems are evolving into strategic competitive advantages. It examines the limitations of conventional PLM approaches and highlights how emerging data-driven paradigms are revolutionizing product development across industries. The article details key applications, including predictive engineering analytics, intelligent requirements management, and data-driven design decision support, while outlining the infrastructure, capabilities, and organizational changes needed to build a strong data science foundation. Through implementation strategies and case studies from the automotive, aerospace, and consumer electronics sectors, it provides practical guidance for organizations navigating this critical transition, ultimately demonstrating how data-driven PLM can deliver superior products with greater efficiency.

Item Type: Article
Official URL: https://doi.org/10.30574/wjarr.2025.26.2.1611
Uncontrolled Keywords: Data-Driven Palm; Digital Transformation; Predictive Analytics; Manufacturing Intelligence; Product Development Optimization
Depositing User: Editor WJARR
Date Deposited: 20 Aug 2025 10:46
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/2746